Multi-energy conversion and power demand response are effective ways to improve energy utilization

reduce system energy supply pressure

and balance supply and demand. Power demand response technology considers multi-energy conversion

aiming at the mutual conversion and substitution of multiple energy sources in the system

combined with price-based power demand response

to improve the energy supply capacity of the system

stabilize the load side fluctuation

and promote the system to eliminate wind and solar energy. First

linearize the modeling of related equipment in energy input

multi-energy conversion

multi-energy storage and other links a unified model for multi- energy conversion of electrical loads is proposed

and the resulting electrical energy storage characteristics are analyzed. Second

based on the peak-valley time-of-use electricity price

establish three load models that can be reduced

transferable

and replaceable. Finally

considering the four constraints of system operation

taking the lowest comprehensive cost of system operation as the objective function

the optimization effect of multi-energy conversion power demand response on system operation is studied

modeled by Yalmip modeling language

and Cplex solver is called to solve. Based on the optimal solution result of the objective function

the validity and feasibility of the model in this thesis are verified

which can further reduce the operating cost of the system and maximize the ability of the power system to absorb wind power.